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Volumn , Issue , 2014, Pages 807-816

Towards a unified system for multimodal activity spotting: Challenges and a proposal

Author keywords

Body worn sensors; Continuous activity recognition; Multi modality; Multi sensor; WarpingLCSS

Indexed keywords

CLASSIFICATION (OF INFORMATION); PATTERN RECOGNITION; TEMPLATE MATCHING; UBIQUITOUS COMPUTING;

EID: 84908670367     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2638728.2641301     Document Type: Conference Paper
Times cited : (5)

References (14)
  • 2
    • 84958535162 scopus 로고    scopus 로고
    • Improving online gesture recognition with WarpingLCSS by multi-sensor fusion
    • Lecture Notes in Electrical Engineering
    • Chen, C., and Shen, H. Improving online gesture recognition with WarpingLCSS by multi-sensor fusion. In Computer Engineering and Networking, Lecture Notes in Electrical Engineering. 2014.
    • (2014) Computer Engineering and Networking
    • Chen, C.1    Shen, H.2
  • 6
    • 84919469873 scopus 로고    scopus 로고
    • Recognizing multi-modal sensor signals using evolutionary learning of dynamic bayesian networks
    • Lee, Y.-S., and Cho, S.-B. Recognizing multi-modal sensor signals using evolutionary learning of dynamic bayesian networks. Pattern Analysis and Applications (2012).
    • (2012) Pattern Analysis and Applications
    • Lee, Y.-S.1    Cho, S.-B.2
  • 10
    • 78149236604 scopus 로고    scopus 로고
    • Collecting complex activity data sets in highly rich networked sensor environments
    • Roggen, D., and et. al. Collecting complex activity data sets in highly rich networked sensor environments. In 7th Int. Conf. on Networked Sensing Systems (2010).
    • (2010) 7th Int. Conf. on Networked Sensing Systems
    • Roggen, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.